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文件名称:Kalman
介绍说明－－下载内容来自于网络，使用问题请自行百度
Kalman filter toolbox written by Kevin Murphy, 1998.
See http://www.ai.mit.edu/~murphyk/Software/kalman.html for details.
Installation
------------
1. Install KPMtools from http://www.ai.mit.edu/~murphyk/Software/KPMtools.html
3. Assuming you installed all these files in your matlab directory, In Matlab type
addpath matlab/KPMtools
addpath matlab/Kalman
Demos
-----
See tracking_demo.m for a demo of 2D tracking.
See learning_demo.m for a demo of parameter estimation using EM.
较早版本的kalman滤波matlab源码，适合研读。
See http://www.ai.mit.edu/~murphyk/Software/kalman.html for details.
Installation
------------
1. Install KPMtools from http://www.ai.mit.edu/~murphyk/Software/KPMtools.html
3. Assuming you installed all these files in your matlab directory, In Matlab type
addpath matlab/KPMtools
addpath matlab/Kalman
Demos
-----
See tracking_demo.m for a demo of 2D tracking.
See learning_demo.m for a demo of parameter estimation using EM.
较早版本的kalman滤波matlab源码，适合研读。
(系统自动生成,下载前可以参看下载内容)
下载文件列表
Kalman/AR_to_SS.m
Kalman/convert_to_lagged_form.m
Kalman/ensure_AR.m
Kalman/eval_AR_perf.m
Kalman/kalman_filter.m
Kalman/kalman_forward_backward.m
Kalman/kalman_smoother.m
Kalman/kalman_update.m
Kalman/learning_demo.m
Kalman/learn_AR.m
Kalman/learn_AR_diagonal.m
Kalman/learn_kalman.m
Kalman/README.txt
Kalman/README.txt~
Kalman/sample_lds.m
Kalman/smooth_update.m
Kalman/SS_to_AR.m
Kalman/tracking_demo.m
Kalman
www.dssz.com.txt
Kalman/convert_to_lagged_form.m
Kalman/ensure_AR.m
Kalman/eval_AR_perf.m
Kalman/kalman_filter.m
Kalman/kalman_forward_backward.m
Kalman/kalman_smoother.m
Kalman/kalman_update.m
Kalman/learning_demo.m
Kalman/learn_AR.m
Kalman/learn_AR_diagonal.m
Kalman/learn_kalman.m
Kalman/README.txt
Kalman/README.txt~
Kalman/sample_lds.m
Kalman/smooth_update.m
Kalman/SS_to_AR.m
Kalman/tracking_demo.m
Kalman
www.dssz.com.txt
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